Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
1-2013
Abstract
The recent launch of Google Wallet has brought the issue of technology solutions in mobile payments (m-payments) to the forefront. In deciding whether and when to adopt m-payments, senior managers in banks are concerned about uncertainties regarding future market conditions, technology standards, and consumer and merchant responses, especially their willingness to adopt. This study applies economic theory and modeling for decision-making under uncertainty to bank investments in m-payment systems technology. We assess the projected benefits and costs of investment as a continuous-time stochastic process to determine optimal investment timing. We find that the value of waiting to adopt jumps when the related business environment experiences relevant shocks. Also, when the rate of benefit flows, the time horizon for decision-making, and the time value of money change, the recommended investment timing and optimal investment value will change too. We also consider how network effects influence decision-making for this IT investment context.
Keywords
Investment, Uncertainty, Mobile communication, Standards, Decision making, Timing, Mathematical model, stochastic processes, Decision-making, economics, investment, mobile payments, network effects
Discipline
Computer Sciences | Management Information Systems | Technology and Innovation
Research Areas
Information Systems and Management
Publication
HICSS '13: Proceedings of the 46th Annual Hawaii International Conference on System Sciences, January 7-10
First Page
4166
Last Page
4175
ISBN
9780769548920
Identifier
10.1109/HICSS.2013.624
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
Citation
KAUFFMAN, Robert J.; LIU, Jun; and MA, Dan.
Technology Investment Decision-Making under Uncertainty: The Case of Mobile Payment Systems. (2013). HICSS '13: Proceedings of the 46th Annual Hawaii International Conference on System Sciences, January 7-10. 4166-4175.
Available at: https://ink.library.smu.edu.sg/sis_research/1737
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/HICSS.2013.624
Included in
Computer Sciences Commons, Management Information Systems Commons, Technology and Innovation Commons